As more and more sectors of society ranging from government to businesses move to adopt data-enabled approach to decision making, it is not only imperative to have access to large volumes of data, but also to have tools that help get actionable insights from data as quickly as possible. Most users across these domains are not experts, as a result, effectively visualizing the data has become a crucial tool for obtaining insights. But generating effective visualizations is not an easy task, and requires not only a good understanding of the domain but also an expertise with the visualization tools. It has led to a growing interest in developing methods that can automate the process of visualizing datasets itself [1]}, [2]}, [3]}, [4]}.
